Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.
- data-drift
- jupyter-notebook
- pandas-dataframe
- machine-learning
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Apache Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.
- data-science
- python
- dag
- data-engineering
Easy pipelines for pandas DataFrames.
Move fast from data science prototype to pipeline. Capture, analyze, and transform messy notebooks into data pipelines with just two lines of code.
Docker container for Kafka - Spark Streaming - Cassandra
A simple data project for Steam data
- steam
- steam-data
- steam-api
- python
GTFS Data Pipeline for TfNSW Bus Datasets
- gtfs
- gtfs-static
- gtfs-realtime
- tfnsw